This course provides the essential mathematics required to succeed in the finance and economics related modules of the Global MBA, including equations, functions, derivatives, and matrices. You can test your understanding with quizzes and worksheets, while more advanced content will be available if you want to push yourself.
This course forms part of a specialisation from the University of London designed to help you develop and build the essential business, academic, and cultural skills necessary to succeed in international business, or in further study.
If completed successfully, your certificate from this specialisation can also be used as part of the application process for the University of London Global MBA programme, particularly for early career applicants. If you would like more information about the Global MBA, please visit https://mba.london.ac.uk/.
This course is endorsed by CMI

SR

it is really useful for student who doing MBA,IMBA or GMBA . the teaching style and video skill are excellent. love it so much

AM

May 31, 2017

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This course brushes the basics of maths such as equations, functions, differentiation and matrices!

From the lesson

Matrices

The analysis and even the comprehension of systems of linear equations is much easier when we use key mathematic concepts such as matrices, vectors, and determinants. This week, we’ll introduce these concepts and explain their application to economic models

Taught By

George Kapetanios

Professor of Finance and Econometrics

Transcript

[MUSIC] Because of this special nature, the identity matrix can be inserted or deleted during the multiplication process, Without affecting the matrix product. Therefore, if we have the matrix of dimension n times n times the identity matrix In times the matrix B of dimension n times p. This will be equal to AI times B, equal to A. Times, B. This shows that the product is not affected by the presence or the absence of the I. Another case,that should be discussed, is when A=In. In this case, we have A. In = (In) to the power of 2 = In. This indicates that the square of an identity matrix is equal to itself. In general we say that. (In) to the power of k = In where k = 1, 2 and so forth. Finally, an identity matrix is said to be idempotent. And this property refers to the fact the main identity matrix can be multiplied by itself any number of time. And it will remain unchanged. [MUSIC]

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